Fatigue damage monitoring using un-supervised clustering method of acoustic emission signal on SAE 1045 steel

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Fatigue damage monitoring using un-supervised clustering method of acoustic emission signal on SAE 1045 steel

This paper described the capability of acoustic emission (AE) technique in monitoring the fatigue damage level using unsupervised clustering technique. As fatigue damage is being a major contributing factor to component failure, it is essential to evaluate the level of damage caused by fatigue load...

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Bibliographic Details
Published in:	International Journal of Automotive and Mechanical Engineering
Main Author:	Mohammad M.; Tajuddin A.; Abdullah S.; Jamaluddin N.; Murat B.I.S.
Format:	Article
Language:	English
Published:	Universiti Malaysia Pahang 2016
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018714218&doi=10.15282%2fijame.13.3.2016.5.0295&partnerID=40&md5=757a28930bc256f8326f15b79ffbd603

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